These are some jupyter notebooks, with example codes to perform specific tasks associated with different libraries. I made these while learning the specific libraries and wrote down, whatever I thought would be useful in future projects. These can be referenced later to save time on projects, by simply copying the code block from these, and modifying according to your requirements.
Code Bank Notebooks
Python 3.8
Topics include Strings, slicing, Lists, Dictionaries, Tuples, Sets, Map, Lambda(), filter().
Scikit-Learn
Whatever it is, the way you tell your story online can make all the difference.
NumPy
Topics include Arrays, matrices, slicing, pre built array functions and usage.
Preprocessing
Taking care of missing data, encoding categorical data, feature scaling
Pandas
Whatever it is, the way you tell your story online can make all the difference.
Matplotlib
Whatever it is, the way you tell your story online can make all the difference.